Top Engineering Jobs in Hyderabad

The Software Engineer 1 - Frontend will design intuitive frontend interfaces, write clean code, collaborate with teams, and enhance product performance.

Build and maintain frontend features, write readable and testable code, collaborate with UX and PM, perform code reviews and architecture discussions, debug and optimize performance, adopt technologies to improve productivity and quality.

As an Applied AI Engineer, you will design intelligent systems, develop chat-based UIs, and work on AI workflows using LLMs and orchestration tools.

Responsible for RTL SoC verification of ARM CPUs using UVM. Lead project developments and collaborate with various teams during ASIC development.

The ASIC Design Engineer will develop and implement SoCs, optimize performance, work closely with teams across ASIC development, and debug on FPGA platforms.

The engineer will build automation frameworks for Databricks, integrate AI capabilities, and develop deployment workflows in AWS.

The Staff Software Engineer will innovate and develop AI-driven systems, mentor engineers, and collaborate on technical strategies for product innovation.

The DevOps Engineer will optimize CI/CD pipelines, manage development environments, enforce best practices, and collaborate on infrastructure projects while ensuring code quality and system health.

Design and implement enterprise performance management solutions using CCH Tagetik for financial consolidation, budgeting, planning, and reporting. Collaborate with finance stakeholders for requirements and support end-close activities.

Responsible for developing critical modules in Digibank using Java and React, participating in software design, and ensuring high quality code through practices like TDD.

The Data Engineer will manage data models and architecture, ensuring data security and compliance, while collaborating with teams to mitigate risks and improve security measures.

Looking for a Full Stack Developer with experience in Java, Spring Boot, React JS, and Microservices to develop scalable web applications and ensure smooth CI/CD processes.

The role involves participating in software design, writing production-quality code, and developing critical modules using TDD and DevOps practices.

Lead technical delivery of software projects for Life Asia, collaborate with business teams, and maintain insurance industry knowledge to support policy administration systems.

The Site Reliability Engineer will support multi-tier Java applications, develop CI/CD capabilities, manage incidents, and ensure high availability in a hybrid-cloud environment.

The role involves consulting on ServiceNow best practices, leading technical project delivery, developing custom applications, and managing instance upgrades.

The iOS Developer will design, develop, and maintain high-quality iOS applications, collaborating with teams to deliver innovative solutions.

Responsible for developing responsive web-based user interfaces, collaborating with the engineering team, and building front-end architecture and supporting APIs.

As a Machine Learning Engineer, you will solve business problems using machine learning and AI, develop POCs, and support team growth through collaboration and knowledge sharing.

Design and own infrastructure and observability for large-scale services. Automate operations, implement SLOs/SLIs, run incident response, perform chaos testing, mentor SREs, and drive reliability improvements across cloud and data-center environments.

As a Design Verification Engineer, you will verify AI hardware components, develop verification infrastructure, and automate testbench processes primarily using SystemVerilog/UVM.

Responsible for ASIC implementation tasks including synthesis, timing constraints, ECOs, validation, and supporting RTL development and physical design activities.

Own the integration of IP into ASSP/SOC, including RTL design, synthesis, timing analysis, and verification infrastructure development. Requires expertise in Verilog and C/C++.

The Physical Design Engineer will implement AI acceleration SoCs, focusing on RTL-to-GDSII flows, synthesis, timing analysis, and collaboration with internal and external teams.

Develop and execute test automation for AI/ML software releases, troubleshoot issues, collaborate across teams, and maintain QA infrastructure.